nowfound

AI · May 9, 2026

verify shield ai

first ai driven approach to detect fraud in numbers,ip,mails

What it does

VerifyShield is a free AI-powered fraud detection platform. Instantly check if an email, phone number, or IP address is suspicious — no signup needed. ✅ Detect disposable & fake emails ✅ Identify VoIP & invalid phone numbers ✅ Detect VPNs, proxies & bots Perfect for developers, businesses & anyone fighting online fraud. Try 5 free checks instantly! 🛡️

Does a similar job

all alternatives →
  • BP
    Bot, proxy and fake email detection without captchasOct 2025 · truesign.ai · ▲9

    I've been researching the bot & proxies space for years. I slowly incubated a service to protect public forms, contents and APIs. It recenty reached a few million daily requests and I now dare to bring it to light. Truesign detects bots, proxies/vpns and fake emails, through a single request from the browser, without challenges or user interaction. It can block the request based on rules you choose, or grant a token with encrypted information about the visitor for you to decide. I created a few pages to showcase how it works: - https:/demo.truesign.ai/protected-form : a form…

  • AI Checker ShieldAug 2026 · aicheckershield.com · ▲1

    Detect AI-generated text, images, and prompts instantly.

  • TrustCheck AINov 2025 · ▲7

    Scam Detection App. Verify messages, images & links

  • WebShield.AIJun 2026 · chromewebstore.google.com · ▲2

    AI-powered phishing detection for safer browsing

  • promptShieldJul 2026 · promptshield.ca · ▲11

    Anonymize client docs before you paste them into AI

  • Phishing InspectorNov 2025 · ▲2

    Free AI-powered shield against phishing threats

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 18d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 19d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 26d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 27d ago · cactuscompute.com

  • Monid475

    One wallet, every paid tool your agent needs

    AI · 7d ago · monid.ai

  • Turn website visitors into qualified pipeline

    AI · 20d ago · clarasdr.ai

Launched alongside, May 2026

the whole month →
  • Brew 905

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw805

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • FM

    Dev tools · May 2026 · github.com